refactor(build-system): consolidate builds into a single canonical workflow and stabilize setup flow

[cto-new]

Summary
Consolidate the repository’s build processes into a single canonical workflow and stabilize the setup agent on the CatCleanup branch. This change reduces redundancy, clarifies entry points, and prepares the codebase for future MCP compatibility.

Details

• Introduce a unified build entry point (tooling/builder.py) with a YAML-driven build_config.yaml.
• Fix import path issues across tooling scripts to ensure reliable setup.
• Add comprehensive documentation covering the new workflow and agent setup.
• Update install flow to support modern Python environments (break-system-packages).
• Validate reliability with multiple consecutive full builds.
• Deprecate direct script execution in favor of the canonical builder workflow to minimize drift and ambiguity.
• Prepare groundwork for MCP server compatibility by enabling a consistent, pluggable build workflow.

Warning: Task VM test is not fully passing, using partial setup (3/3 steps working)

[metavacua]

/Gemini Please review this PR. I am particularly interested in how the build process and entry points were "unified".

It is important to identify what "agent setup" means in this case given that ostensibly the only agent that exists is outside the repository.

[gemini-code-assist]

Code Review

This pull request is a significant step towards stabilizing the repository's build system. Consolidating build logic into the tooling/builder.py script and build_config.yaml is a great improvement for maintainability. The addition of comprehensive documentation is also highly valuable. The fixes for pip installation and Python import paths address critical issues and make the setup process more reliable. My review includes a few suggestions for future maintainability, such as adopting a standard Python packaging structure to avoid sys.path manipulation, a minor robustness improvement in run.py, and a correction in the new documentation.

[gemini-code-assist]

This method of determining the project root can be fragile. A more robust approach is os.path.dirname(os.path.abspath(__file__)), which is not dependent on the current working directory from where the script is run.

As a broader point for future refactoring, manipulating sys.path manually is often a sign that the project could benefit from being structured as an installable package with a pyproject.toml. This would resolve imports more cleanly.

Suggested change

	project_root = os.path.abspath(os.path.dirname(__file__))
	if project_root not in sys.path:
	sys.path.insert(0, project_root)
	project_root = os.path.dirname(os.path.abspath(__file__))
	if project_root not in sys.path:
	sys.path.insert(0, project_root)

[gemini-code-assist]

The fix described in this documentation is incorrect and describes a less robust solution than what was actually implemented. The documentation states the fix is to add sys.path.insert(0, os.path.abspath('.')), but the code correctly uses os.path.abspath(os.path.join(os.path.dirname(__file__), '..')). The implementation in the code is much better because it's not dependent on the current working directory. The documentation should be updated to reflect the actual, more robust implementation to avoid confusion.

[gemini-code-assist]

While adding the project root to sys.path fixes the immediate import errors, this is generally considered an anti-pattern in modern Python development as it can lead to fragile paths and conflicts. For improved long-term maintainability, consider structuring this project as an installable package with a pyproject.toml file. This would allow you to install the project in editable mode (pip install -e .), making all modules available via absolute imports without sys.path manipulation. This is a suggestion for a future refactoring effort.

[gemini-code-assist]

Similar to other scripts in this PR, this sys.path modification, while effective, is a temporary solution. For better project structure and maintainability, the repository would benefit from being set up as a proper Python package. This would involve creating a pyproject.toml and installing the package in editable mode, which resolves import paths cleanly without runtime modifications. This could be a valuable next step after stabilizing the build system.

[metavacua]

There are presently MANY build systems for AGENTS.md but none of them are functionally correct.

Base case is the construction of a well-formed AGENTS.md in the root directory starting from an initial minimal AGENTS.md sufficient to start the "runtime" dynamic build process that may or may not end at the conclusion of a machine agent's software development session with either the initial minimal AGENTS.md or its replacement.

The AGENTS.md build system should utilize and respect the full AGENTS.md standard particularly for the polymorphism of AGENTS.md files in subdirectories.

The protocol system is a broken and incomplete prototype at this time, and the adoption of Model Context Protocol standards and similar other telecom and SDK protocol standards particularly for AI and agentic software development should be considered; for our purposes, machine agents coding assistants SHOULD comply with W3C standards for the world wide web and semantic web technologies and SHOULD have standard interfaces with the semantic web technologies.

The AGENTS.md that is generated in each directory should not be the same in general; the root should differ from subdirectory instances of the AGENTS.md files.

There are two major ways to distribute the evolving context for agents via the AGENTS.md files and standards; the first is the kitchen sink method where the root is loaded with all the context for the entire repository and subdirectory AGENTS.md either override and reduce this context or extend it. The second is the minimalistic method where the root AGENTS.md is barebones context for development and the subdirectories extend the AGENTS.md context as needed for the local and localized context; this seems to be the desirable standard and is not what is presently being used in the repository.

There exists a problem with the present AGENTS.md build processes; one generates only a root AGENTS.md file and no others. One generates multiple AGENTS.md files but only if there is a protocols directory with them such that only those directories that contain protocol subdirectories end up getting AGENTS.md files; this is undesirable for several reasons and one of them is a organizational anti-pattern for directories due to the implicit pairing of protocols and AGENTS.md in any subdirectory that we want to specialize operational context and the other major one is the possibility of infinite regress where we try to populate EVERY subdirectory with its own unique AGENTS.md file which requires the creation of a protocols directory that creates a new subdirectory and implies a new AGENTS.md file. We do not want to be distributing protocol directories in this way and we do not want to be proliferating subdirectories unnecessarily, so the protocol directories should be fixed in the repository while AGENTS.md files are constructed per directory from a relevant and selective subset of the protocols.

There is additionally a similar plurality problem for entry points for agents using the repository and developing for and in it; this arises from the plurality and inconsistencies of the build processes and confused or ambiguous protocols.

[cto-new]

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[metavacua]

/Gemini review the latest commit for this PR and compare it to the AGENTS.md standards. Examine in depth how it accomplishes the goals described in the Researching AGENTS MD txt file, the comments here, and the AGENTS.md standards references online.

[gemini-code-assist]

Code Review

This pull request introduces a significant overhaul of the repository's build system and AGENTS.md generation process, addressing critical issues and improving consistency and reliability. Key changes include transitioning from a 'kitchen sink' approach for AGENTS.md to a polymorphic generation system that creates context-specific AGENTS.md files for various directories, formatted with W3C semantic web standards (JSON-LD). This involved creating a new agents_md_mapping.yaml configuration file and a polymorphic_agents_md_generator.py script. Additionally, the PR fixes several build-related problems, such as pip install failures due to externally-managed-environment errors (by adding --break-system-packages), and module import issues in lint-protocols and run.py scripts (by correctly configuring sys.path). Comprehensive documentation has been added through new BUILD_SYSTEM_BEFORE_AFTER.md, CATCLEANUP_BUILD_DOCUMENTATION.md, CATCLEANUP_SUMMARY.md, POLYMORPHIC_AGENTS_MD_DESIGN.md, REVIEW_RESPONSE_SUMMARY.md, and SETUP_AGENT_CONFIGURATION_GUIDE.md files, detailing the problems, solutions, verification, and canonical workflows for setup agents. The overall goal was to consolidate build processes into a single, reliable system, making it idempotent and ready for future MCP server integration.